Change Point Detection is a technique used to identify points in a sequence where the underlying behavior or statistical pattern changes significantly. It analyzes time-series or streaming data to detect shifts in factors such as activity levels, sensor readings, system performance, or event frequency.
In video analytics, Change Point Detection can identify meaningful changes in a scene, such as a sudden increase in crowd activity or a transition from normal to unusual behavior. It is also useful in industrial monitoring, network performance, financial analysis, and anomaly detection, helping organizations recognize changes early and respond to emerging conditions
